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What is Viso Now?

Viso Now is a web-based platform focused on computer vision, allowing users to create and implement vision applications by utilizing prompts or video inputs. Users are able to specify particular scenes, events, or conditions for monitoring, and the platform helps generate vision agents that evaluate the footage, identify pertinent activities, and share insights with connected tools. It includes a variety of templates tailored for applications such as workplace safety audits, quality assurance processes, queue management, equipment oversight, and operational evaluations. Users are also empowered to modify agent guidelines and outputs, review results via dashboards, and integrate their setups with cameras, video archives, cloud storage, and alert systems. Targeting teams in operations, safety, quality assurance, engineering, AI, and systems integration, Viso Now allows for the prototyping and execution of visual monitoring strategies without requiring labeled datasets or custom training for models. A complimentary plan offers daily credits, while premium subscriptions increase usage quotas and introduce more collaborative features, making it suitable for diverse organizational demands. This adaptability enables teams to swiftly customize the platform to align with their specific monitoring needs, enhancing overall operational efficiency. By leveraging Viso Now, organizations can significantly improve their approach to visual data analysis and management.

What is Ultralytics?

Ultralytics offers a robust vision-AI platform built around its acclaimed YOLO model suite, enabling teams to easily train, validate, and deploy computer vision models. The platform includes an easy-to-use drag-and-drop interface for managing datasets, allowing users to select from existing templates or create customized models, along with the ability to export in various formats ideal for cloud, edge, or mobile applications. It accommodates a variety of tasks including object detection, instance segmentation, image classification, pose estimation, and oriented bounding-box detection, ensuring that Ultralytics' models achieve high levels of accuracy and efficiency suitable for both embedded systems and large-scale inference requirements. Furthermore, it features Ultralytics HUB, a convenient web-based tool that enables users to upload images and videos, train models online, visualize outcomes (including on mobile devices), collaborate with teammates, and deploy models seamlessly via an inference API. This integration of advanced tools simplifies the process for teams looking to implement cutting-edge AI technology in their initiatives, thus fostering innovation and enhancing productivity throughout their projects. Overall, Ultralytics is committed to providing a user-friendly experience that empowers users to maximize the potential of AI in their work.

Media

No images available

Media

Integrations Supported

Integrations Supported

Comet
Conda
Docker
GitHub
NVIDIA TensorRT
Neural Magic
Python
Roboflow
Rosepetal AI
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$25/month
A free plan includes daily credits. The Pro plan starts at $25 per month; higher-tier plans offer additional capacity and team features.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

viso.ai

Date Founded

2014

Company Location

Switzerland

Company Website

viso.ai/viso-now/

Company Facts

Organization Name

Ultralytics

Date Founded

2014

Company Location

United States

Company Website

www.ultralytics.com

Categories and Features

Computer Vision

Not specified

Categories and Features

AI Models

Not specified

Computer Vision

Not specified

Image Recognition

Not specified

Machine Learning

Not specified

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